Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic

Research article (PLoS Computational Biology, 2022) · cited 55× · AI/ML
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Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic

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Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-drug-polypharmacology-from-cell-morphology-readouts-using-variational-autoencoder-latent-space-arithmetic
MLA “Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-drug-polypharmacology-from-cell-morphology-readouts-using-variational-autoencoder-latent-space-arithmetic.
BibTeX @misc{4ortxyz_predicting-drug-polypharmacology-from-cell-morphology-readouts-using-variational-autoencoder-latent-space-arithmetic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-drug-polypharmacology-from-cell-morphology-readouts-using-variational-autoencoder-latent-space-arithmetic}, note = {Accessed: 2026-05-24}}
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